Yu-Chun Lin1,2, Gigin Lin1,3,4, Ji-Hong Hong2,4,5, Yi-Ping Lin5, Fang-Hsin Chen2,4,5, Shu-Hang Ng1,2, Chun-Chieh Wang2,4,5. 1. Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taiwan. 2. Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taiwan. 3. Clinical Phenome Center, Chang Gung Memorial Hospital at Linkou, Taiwan. 4. Radiation Biology Research Center, Institute for Radiological Research, Chang Gung University / Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan. 5. Department of Radiation Oncology, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan, Taiwan.
Abstract
PURPOSE: To investigate the biological meaning of apparent diffusion coefficient (ADC) values in tumors following radiotherapy. MATERIALS AND METHODS: Five mice bearing TRAMP-C1 tumor were half-irradiated with a dose of 15 Gy. Diffusion-weighted images, using multiple b-values from 0 to 3000 s/mm2 , were acquired at 7T on day 6. ADC values calculated by a two-point estimate and monoexponential fitting of signal decay were compared between the irradiated and nonirradiated regions of the tumor. Pixelwise ADC maps were correlated with histological metrics including nuclear counts, nuclear sizes, nuclear spaces, cytoplasmic spaces, and extracellular spaces. RESULTS: As compared with the nonirradiated region, the irradiated region exhibited significant increases in ADC, extracellular space, and nuclear size, and a significant decrease in nuclear counts (P < 0.001 for all). Optimal ADC to differentiate the irradiated from nonirradiated regions was achieved at a b-value of 800 s/mm2 by the two-point method and monoexponential curve fitting. ADC positively correlated with extracellular spaces (r = 0.74) and nuclear sizes (r = 0.72), and negatively correlated with nuclear counts (r = -0.82, P < 0.001 for all). CONCLUSION: As a radiomic biomarker, ADC maps correlating with histological metrics pixelwise could be a means of evaluating tumor heterogeneity and responses to radiotherapy. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:483-489.
PURPOSE: To investigate the biological meaning of apparent diffusion coefficient (ADC) values in tumors following radiotherapy. MATERIALS AND METHODS: Five mice bearing TRAMP-C1 tumor were half-irradiated with a dose of 15 Gy. Diffusion-weighted images, using multiple b-values from 0 to 3000 s/mm2 , were acquired at 7T on day 6. ADC values calculated by a two-point estimate and monoexponential fitting of signal decay were compared between the irradiated and nonirradiated regions of the tumor. Pixelwise ADC maps were correlated with histological metrics including nuclear counts, nuclear sizes, nuclear spaces, cytoplasmic spaces, and extracellular spaces. RESULTS: As compared with the nonirradiated region, the irradiated region exhibited significant increases in ADC, extracellular space, and nuclear size, and a significant decrease in nuclear counts (P < 0.001 for all). Optimal ADC to differentiate the irradiated from nonirradiated regions was achieved at a b-value of 800 s/mm2 by the two-point method and monoexponential curve fitting. ADC positively correlated with extracellular spaces (r = 0.74) and nuclear sizes (r = 0.72), and negatively correlated with nuclear counts (r = -0.82, P < 0.001 for all). CONCLUSION: As a radiomic biomarker, ADC maps correlating with histological metrics pixelwise could be a means of evaluating tumor heterogeneity and responses to radiotherapy. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:483-489.
Authors: Benedict Oerther; Moritz V Buren; Christina M Klein; Simon Kirste; Nils H Nicolay; Tanja Sprave; Simon Spohn; Deepa Darshini Gunashekar; Leonard Hagele; Lars Bielak; Michael Bock; Anca-L Grosu; Fabian Bamberg; Matthias Benndorf; Constantinos Zamboglou Journal: In Vivo Date: 2020 Nov-Dec Impact factor: 2.155
Authors: Fei Yang; John C Ford; Nesrin Dogan; Kyle R Padgett; Adrian L Breto; Matthew C Abramowitz; Alan Dal Pra; Alan Pollack; Radka Stoyanova Journal: Transl Androl Urol Date: 2018-06